R help - Mar 2010 - CDF calculation from kernel density estimates for a 324X 15 matrix

Hi,

I have a 324X15 matrix (No of years vs. heavy precipitation days) and I want
to calculate the cdf at 5 different data points for each row. I tried by the
following codes but it's not working.

heavyprec <- read.csv
(file="heavyprecdays_CSV.csv",header=TRUE,sep=",")
a <- heavyprec
pdf <- density (a, bw="SJ", kern= "gaussian")
f <- approxfun (pdf$x, pdf$y)
cdf <- integrate (f, -Inf, 25.25)     # I also have to calculate cdf at 30,
33, 37 heavy precipitation days

I know I am misunderstanding the code somewhere. But not being able to
figure it out. Basically I want to calculate bandwidth for each of the 324
rows separately and then I need to calculate the kernel sensity estimate for
each of 324 rows separately and cdf for all those rows separately at 5
different data points. So I guess I have to use for loops too?

This is my 1st  program in R and I am sorry if this problem sounds very
easy.

Any suggestions and help would be highly appreciated!
Thanks very much in advance!






-- 
Tarana Solaiman
PhD Candidate,
Dept. of Civil & Environmental Engineering
The University of Western Ontario
London, ON, Canada
Email: tarana.solaiman@gmail.com

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